heimdall: Drift Adaptable Models
By analyzing streaming datasets, it is possible to observe significant changes in the data distribution or models' accuracy during their prediction (concept drift). The goal of 'heimdall' is to measure…
harbinger: A Unified Time Series Event Detection Framework
By analyzing time series, it is possible to observe significant changes in the behavior of observations that frequently characterize events. Events present themselves as anomalies, change points, or motifs. In…
daltoolbox: Leveraging Experiment Lines to Data Analytics
The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the…
tspredit: Time Series Prediction Integrated Tuning
Prediction is one of the most important activities while working with time series. There are many alternative ways to model the time series. Finding the right one is challenging to…
daltoolboxdp: Python-Based Extensions for Data Analytics Workflows
Provides Python-based extensions to enhance data analytics workflows, particularly for tasks involving data preprocessing and predictive modeling. Includes tools for data sampling, transformation, feature selection, balancing strategies (e.g., SMOTE), and…
Regulamento de Controle de Frequência dos docentes EBTT (atualização)
Regulamento Institucional de Controle de Frequência dos Servidores Docentes da Carreira de Magistério do Ensino Básico, Técnico e Tecnológico A comissão formada pelos professores Eduardo Ogasawara (presidente), Isabela Devonish, Rafaelli…
Regulamento de Controle de Frequência dos docentes EBTT
Regulamento Institucional de Controle de Frequência dos Servidores Docentes da Carreira de Magistério do Ensino Básico, Técnico e Tecnológico A comissão formada pelos professores Eduardo Ogasawara (presidente), Isabela Devonish, Rafaelli…
Instrução Normativa para Resolução CODIR 49/2018
Instrução normativa para resolução CODIR 49/2018 A comissão formada pelos professores Eduardo Ogasawara (presidente), Heitor Mendes e Leydervan Xavier está entrando em contato junto a comunidade do CEFET/RJ para coletar…
gstsm: Generalized Spatial-Time Sequence Miner
Implementations of the algorithms present article Generalized Spatial-Time Sequence Miner, original title (Castro, Antonio; Borges, Heraldo ; Pacitti, Esther ; Porto, Fabio ; Coutinho, Rafaelli ; Ogasawara, Eduardo . Generalização…
TSPred: Functions for Benchmarking Time Series Prediction
Functions for defining and conducting a time series prediction process including pre(post)processing, decomposition, modelling, prediction and accuracy assessment. The generated models and its yielded prediction errors can be used for…